package com.example.kdyaimap.util

import android.content.Context
import dagger.hilt.android.qualifiers.ApplicationContext
import kotlinx.coroutines.flow.MutableStateFlow
import kotlinx.coroutines.flow.StateFlow
import kotlinx.coroutines.flow.asStateFlow
import javax.inject.Inject
import javax.inject.Singleton

/**
 * P2P网络优化器
 * 基于日志分析结果提供智能优化建议和自动优化方案
 */
@Singleton
class P2PNetworkOptimizer @Inject constructor(
    @ApplicationContext private val context: Context
) {
    
    private val TAG = "P2PNetworkOptimizer"
    
    // 优化状态
    private val _optimizationStatus = MutableStateFlow(OptimizationStatus.IDLE)
    val optimizationStatus: StateFlow<OptimizationStatus> = _optimizationStatus.asStateFlow()
    
    // 优化建议
    private val _optimizationSuggestions = MutableStateFlow<List<OptimizationSuggestion>>(emptyList())
    val optimizationSuggestions: StateFlow<List<OptimizationSuggestion>> = _optimizationSuggestions.asStateFlow()
    
    // 优化结果
    private val _optimizationResult = MutableStateFlow<OptimizationResult?>(null)
    val optimizationResult: StateFlow<OptimizationResult?> = _optimizationResult.asStateFlow()
    
    /**
     * 分析网络状态并生成优化建议
     */
    fun analyzeAndOptimize(
        peerStats: PeerStatistics,
        errorStats: ErrorStatistics,
        networkStatus: P2PNetworkStatus,
        connectionQuality: ConnectionQuality
    ) {
        _optimizationStatus.value = OptimizationStatus.ANALYZING
        
        val suggestions = mutableListOf<OptimizationSuggestion>()
        
        // 分析错误模式
        analyzeErrorPatterns(errorStats, suggestions)
        
        // 分析节点状态
        analyzePeerStatus(peerStats, suggestions)
        
        // 分析网络质量
        analyzeNetworkQuality(connectionQuality, networkStatus, suggestions)
        
        // 分析连接性能
        analyzeConnectionPerformance(peerStats, suggestions)
        
        _optimizationSuggestions.value = suggestions
        _optimizationStatus.value = OptimizationStatus.READY
    }
    
    /**
     * 分析错误模式
     */
    private fun analyzeErrorPatterns(errorStats: ErrorStatistics, suggestions: MutableList<OptimizationSuggestion>) {
        when {
            errorStats.dripErrorCount > 10 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.CRITICAL,
                        title = "Drip协议错误频繁",
                        description = "检测到${errorStats.dripErrorCount}个Drip错误，可能存在协议兼容性问题",
                        impact = ImpactLevel.HIGH,
                        effort = EffortLevel.MEDIUM,
                        actions = listOf(
                            "检查xySDK版本兼容性",
                            "更新到最新的Drip协议版本",
                            "联系技术支持获取协议更新",
                            "临时增加错误重试次数"
                        ),
                        expectedImprovement = "减少80%的协议错误"
                    )
                )
            }
            
            errorStats.dripErrorCount > 0 && errorStats.lastErrorCode == 304 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.PROTOCOL,
                        title = "304错误处理优化",
                        description = "频繁出现304错误，需要优化协议错误处理机制",
                        impact = ImpactLevel.MEDIUM,
                        effort = EffortLevel.LOW,
                        actions = listOf(
                            "实现304错误的特殊处理逻辑",
                            "增加协议版本协商机制",
                            "设置更长的错误恢复时间"
                        ),
                        expectedImprovement = "减少50%的连接中断"
                    )
                )
            }
            
            errorStats.timeoutCount > 5 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.PERFORMANCE,
                        title = "连接超时优化",
                        description = "连接超时次数过多，需要调整超时配置",
                        impact = ImpactLevel.MEDIUM,
                        effort = EffortLevel.LOW,
                        actions = listOf(
                            "将连接超时从300ms增加到500ms",
                            "实现指数退避重连策略",
                            "添加网络质量检测"
                        ),
                        expectedImprovement = "减少60%的超时错误"
                    )
                )
            }
        }
    }
    
    /**
     * 分析节点状态
     */
    private fun analyzePeerStatus(peerStats: PeerStatistics, suggestions: MutableList<OptimizationSuggestion>) {
        when {
            peerStats.backupPeers < 10 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.NETWORK,
                        title = "备份节点数量不足",
                        description = "当前备份节点${peerStats.backupPeers}个，低于推荐的14个",
                        impact = ImpactLevel.HIGH,
                        effort = EffortLevel.MEDIUM,
                        actions = listOf(
                            "增加节点池大小到20个",
                            "优化节点选择算法",
                            "添加更多地理位置分散的节点",
                            "实现节点健康检查机制"
                        ),
                        expectedImprovement = "提升网络稳定性40%"
                    )
                )
            }
            
            peerStats.formalPeers == 0 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.NETWORK,
                        title = "缺乏正式节点",
                        description = "所有节点都是备份状态，影响网络性能",
                        impact = ImpactLevel.MEDIUM,
                        effort = EffortLevel.HIGH,
                        actions = listOf(
                            "优化节点升级策略",
                            "实现节点信誉评分系统",
                            "优先选择高质量节点升级为正式节点"
                        ),
                        expectedImprovement = "提升连接质量30%"
                    )
                )
            }
            
            peerStats.deletedPeers > peerStats.createdPeers -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.STABILITY,
                        title = "节点删除频率过高",
                        description = "节点删除数量(${peerStats.deletedPeers})超过创建数量(${peerStats.createdPeers})",
                        impact = ImpactLevel.HIGH,
                        effort = EffortLevel.MEDIUM,
                        actions = listOf(
                            "分析节点删除原因",
                            "优化节点保持策略",
                            "实现更智能的节点管理",
                            "增加节点连接稳定性检查"
                        ),
                        expectedImprovement = "减少50%的节点波动"
                    )
                )
            }
        }
    }
    
    /**
     * 分析网络质量
     */
    private fun analyzeNetworkQuality(
        connectionQuality: ConnectionQuality,
        networkStatus: P2PNetworkStatus,
        suggestions: MutableList<OptimizationSuggestion>
    ) {
        when (connectionQuality) {
            ConnectionQuality.POOR -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.URGENT,
                        title = "网络质量较差",
                        description = "当前连接质量为较差状态，需要立即优化",
                        impact = ImpactLevel.CRITICAL,
                        effort = EffortLevel.HIGH,
                        actions = listOf(
                            "立即检查网络连接",
                            "重启P2P服务",
                            "切换到备用节点池",
                            "联系网络管理员"
                        ),
                        expectedImprovement = "恢复基本网络功能"
                    )
                )
            }
            
            ConnectionQuality.FAIR -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.IMPROVEMENT,
                        title = "网络质量一般",
                        description = "连接质量有提升空间，建议进行优化",
                        impact = ImpactLevel.MEDIUM,
                        effort = EffortLevel.MEDIUM,
                        actions = listOf(
                            "优化节点选择策略",
                            "增加连接质量监控",
                            "实现自适应负载均衡"
                        ),
                        expectedImprovement = "提升连接质量到良好水平"
                    )
                )
            }
            
            else -> {
                // 网络质量良好，提供维护建议
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.MAINTENANCE,
                        title = "网络质量良好",
                        description = "当前网络状态良好，建议进行预防性维护",
                        impact = ImpactLevel.LOW,
                        effort = EffortLevel.LOW,
                        actions = listOf(
                            "定期监控网络指标",
                            "保持节点池更新",
                            "记录性能基线数据"
                        ),
                        expectedImprovement = "维持当前良好状态"
                    )
                )
            }
        }
    }
    
    /**
     * 分析连接性能
     */
    private fun analyzeConnectionPerformance(peerStats: PeerStatistics, suggestions: MutableList<OptimizationSuggestion>) {
        when {
            peerStats.averageConnectTime > 100 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.PERFORMANCE,
                        title = "连接时间过长",
                        description = "平均连接时间${peerStats.averageConnectTime}ms，超过推荐的100ms",
                        impact = ImpactLevel.MEDIUM,
                        effort = EffortLevel.MEDIUM,
                        actions = listOf(
                            "优化节点地理位置选择",
                            "实现连接并行化",
                            "增加本地节点缓存",
                            "使用更快的DNS解析"
                        ),
                        expectedImprovement = "减少40%的连接时间"
                    )
                )
            }
            
            peerStats.averageConnectTime > 50 -> {
                suggestions.add(
                    OptimizationSuggestion(
                        type = OptimizationType.OPTIMIZATION,
                        title = "连接性能优化",
                        description = "连接时间有优化空间，可以进一步提升性能",
                        impact = ImpactLevel.LOW,
                        effort = EffortLevel.LOW,
                        actions = listOf(
                            "启用连接复用",
                            "优化TCP参数",
                            "实现连接预热机制"
                        ),
                        expectedImprovement = "减少20%的连接时间"
                    )
                )
            }
        }
        
        if (peerStats.successRatio < 0.8) {
            suggestions.add(
                OptimizationSuggestion(
                    type = OptimizationType.RELIABILITY,
                    title = "连接成功率偏低",
                    description = "当前成功率${String.format("%.1f", peerStats.successRatio * 100)}%，低于推荐的80%",
                    impact = ImpactLevel.HIGH,
                    effort = EffortLevel.MEDIUM,
                    actions = listOf(
                        "改进节点质量评估算法",
                        "实现智能重试机制",
                        "增加备用节点数量",
                        "优化错误恢复策略"
                    ),
                    expectedImprovement = "提升成功率到90%以上"
                )
            )
        }
    }
    
    /**
     * 应用优化建议
     */
    fun applyOptimization(suggestion: OptimizationSuggestion) {
        _optimizationStatus.value = OptimizationStatus.APPLYING
        
        // 这里可以实现具体的优化逻辑
        // 例如：修改配置参数、重启服务等
        
        val result = OptimizationResult(
            suggestion = suggestion,
            success = true,
            appliedAt = System.currentTimeMillis(),
            improvements = mapOf(
                "error_reduction" to "预计减少${suggestion.expectedImprovement}",
                "performance_gain" to "提升网络性能"
            )
        )
        
        _optimizationResult.value = result
        _optimizationStatus.value = OptimizationStatus.COMPLETED
    }
    
    /**
     * 重置优化状态
     */
    fun resetOptimization() {
        _optimizationStatus.value = OptimizationStatus.IDLE
        _optimizationSuggestions.value = emptyList()
        _optimizationResult.value = null
    }
    
    /**
     * 优化连接设置
     */
    fun optimizeConnectionSettings() {
        _optimizationStatus.value = OptimizationStatus.APPLYING
        
        // 模拟优化连接设置
        android.util.Log.i(TAG, "正在优化连接设置...")
        
        _optimizationStatus.value = OptimizationStatus.COMPLETED
    }
    
    /**
     * 启用智能重连
     */
    fun enableSmartReconnection() {
        _optimizationStatus.value = OptimizationStatus.APPLYING
        
        // 模拟启用智能重连
        android.util.Log.i(TAG, "正在启用智能重连...")
        
        _optimizationStatus.value = OptimizationStatus.COMPLETED
    }
    
    /**
     * 优化内存使用
     */
    fun optimizeMemoryUsage() {
        _optimizationStatus.value = OptimizationStatus.APPLYING
        
        // 模拟优化内存使用
        android.util.Log.i(TAG, "正在优化内存使用...")
        
        _optimizationStatus.value = OptimizationStatus.COMPLETED
    }
}

/**
 * 优化状态枚举
 */
enum class OptimizationStatus {
    IDLE,        // 空闲
    ANALYZING,   // 分析中
    READY,       // 准备就绪
    APPLYING,    // 应用中
    COMPLETED    // 完成
}

/**
 * 优化类型枚举
 */
enum class OptimizationType {
    CRITICAL,    // 关键问题
    URGENT,      // 紧急
    PROTOCOL,    // 协议相关
    NETWORK,     // 网络相关
    PERFORMANCE, // 性能相关
    STABILITY,   // 稳定性相关
    IMPROVEMENT, // 改进建议
    OPTIMIZATION, // 优化建议
    RELIABILITY, // 可靠性相关
    MAINTENANCE  // 维护建议
}

/**
 * 影响级别枚举
 */
enum class ImpactLevel {
    LOW,         // 低
    MEDIUM,      // 中等
    HIGH,        // 高
    CRITICAL     // 关键
}

/**
 * 工作量级别枚举
 */
enum class EffortLevel {
    LOW,         // 低
    MEDIUM,      // 中等
    HIGH         // 高
}

/**
 * 优化建议数据类
 */
data class OptimizationSuggestion(
    val type: OptimizationType,
    val title: String,
    val description: String,
    val impact: ImpactLevel,
    val effort: EffortLevel,
    val actions: List<String>,
    val expectedImprovement: String,
    val priority: Int = when (impact) {
        ImpactLevel.CRITICAL -> 1
        ImpactLevel.HIGH -> 2
        ImpactLevel.MEDIUM -> 3
        ImpactLevel.LOW -> 4
    }
)

/**
 * 优化结果数据类
 */
data class OptimizationResult(
    val suggestion: OptimizationSuggestion,
    val success: Boolean,
    val appliedAt: Long,
    val improvements: Map<String, String>
)